Talk (non-conference) (Invited)

FZJ-2014-07098

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms

Hagen, E.FZJ* ; Ness, T. V. (Corresponding Author) ; Khosrowshahi, A. ; Sørensen, C. ; Fyhn, M. ; Hafting, T. ; Franke, F. ; Einevoll, G. T.

2014

Abstract: New silicon-based multielectrodes comprising hundreds or more electrodecontacts offer unprecedented possibilities for simultaneous recordings of spike trains from thousands of neurons, that can only be realized if accurate,validated methods for automatic spike sorting are provided. This in returnrequires benchmarking data sets with known ground-truth spike times. Here, Iwill present a general simulation methodology for computing benchmarking datafor evaluation of spike-sorting algorithms, based on a well-establishedbiophysical forward-modeling scheme.

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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Theoretical Neuroscience (IAS-6)

Research Program(s):

1. 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331) (POF2-331)
2. HBP - The Human Brain Project (604102) (604102)
3. 89574 - Theory, modelling and simulation (POF2-89574) (POF2-89574)

Appears in the scientific report 2014

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